At CloudWalk, we're building the future of financial services with technology at the core. Our Finance team shapes how we fund, scale, and optimize our products, always with a data-driven mindset and a strong connection to the market.
What You'll Do
Build and run the data pipelines that feed the fund: prices, volumes, fundamentals, and filings from market data providers (e.g., Polygon, LSEG) and SEC EDGAR.
Build scrapers that collect earnings materials and investor relations documents from listed companies.
Design and maintain the fund's data lake, so the investment team can query clean and reliable data.
Build the tools behind the strategy: screenings, signal testing, backtests, and a portfolio simulator that accounts for real trading costs.
Connect our systems to broker APIs for execution, reconciliation, and reporting.
Use AI tools to sharpen analysis, productivity, and insights.
What You'll Need to Succeed
Python and working knowledge of SQL.
Experience building data pipelines, scrapers, or API integrations, from work, personal projects, or competitions.
Comfort with data analysis: you know when a result is too good to be true.
High agency: you take ownership and move things forward on your own.
Adaptability and comfort in a fast-changing environment.
Genuine interest in financial markets and in using AI in your daily workflow. You don't need market experience, you need curiosity to learn it fast.
Upper-intermediate to advanced English.
Nice to Have
Experience with cloud data stacks (e.g., AWS, GCP, BigQuery) and pipeline orchestration.
Experience with financial or market data (tick data, fundamentals, filings).
Backtesting or quant work: Kaggle competitions, trading bots, portfolio tools you built yourself.
Experience at fintechs, funds, brokerages, or data-heavy companies.
